Application of Sensors in Structural Health Monitoring

DOI

10.2991/978-94-6463-471-6_21How to use a DOI?

Keywords

Structural health monitoring; RC Beam; Deflection; FRS; PZS; MEMS; FLS

Abstract

Structural Health Monitoring (SHM) is a rapidly expanding discipline that offers a platform for continuous evaluation of civil engineering structures to assure their safety and serviceability. Based on the information collected from SHM, the structure's service life can be extended by doing the necessary maintenance/repair work, therefore averting failure. As a result, most industrialized nations are boosting their budgets for assessing the status of their important civil infrastructure. SHM quality may be increased by installing a large number of low-cost smart wireless sensors and using their computational and communication capabilities. These smart wireless sensors give critical data that may be used to detect, evaluate, and assess structural damage caused by heavy loads and environmental deteriorations. The data from these smart wireless sensors improves our understanding of the structural system's physical state. Structural health monitoring has employed a variety of sensors, including strain sensors, displacement sensors, acceleration sensors, temperature sensors, fibre optic sensors, and MEMS sensors. Force resisting sensor (FRS), piezoelectric sensor (PZS), micro-electromechanical systems (MEMS) accelerometer sensor, and Flex sensor (FLS) are used in this investigation on an RC beam. The first fracture recorded by several sensors under experimental static loading circumstances is shown, along with a comparative study. MEMS have been recommended for a range of SHM applications based on the findings.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Aakash Maharjan
AU  - Kusuma Sundara Kumar
AU  - Pakkiri Gnanamoorthy
PY  - 2024
DA  - 2024/07/30
TI  - Application of Sensors in Structural Health Monitoring
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 212
EP  - 222
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_21
DO  - 10.2991/978-94-6463-471-6_21
ID  - Maharjan2024
ER  -